We build robust and interpretable machine learning tools for decompiling biological computations.
We are a research lab at Helmholtz Munich working on machine learning algorithms for representation learning and inference of nonlinear system dynamics. We apply these algorithms to model complex biological systems in neuroscience, cell biology and other life science applications.
If you are interested in working with us, please reach out! We are hiring for fully-funded PhD, postdoc and research engineering positions, and also welcome undergraduate and Master’s students to apply for research visits, internships and research assistant positions.
The lab works on robust, identifiable and interpretable machine learning tools for scientific inference. We work on both core machine learning topics and the application of machine learning algorithms for scientific inference in the life sciences. Our research focus is on:
The following is a list of key publications within these focus areas. For a full list of publications, see the research sections.
We are hiring at all levels (BSc, MSc, PhD) for a range of positions. If you are interested in applying, please read through the following open positions, and reach out.
Last section update: November 15, 2023
If you have questions or are interested in applying, please reach out via email.
The lab is located at the Institute of Computational Biology of Helmholtz Munich.
Helmholtz Munich • Ingolstädter Landstraße 1 • Building 58a • D-85764 Neuherberg